Expert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training
51
57%
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Critical
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tessl review fix ./06-post-training/grpo-rl-training/SKILL.mdSecurity
1 critical severity finding. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.
The repository includes direct execution of model-generated code via exec() (run_test_cases / code_execution_reward) without enforced sandboxing, enabling remote code execution and easy abuse for arbitrary code execution or data exfiltration.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The runtime workflow loads a dataset from an external/public source (e.g., Hugging Face dataset via `load_dataset('openai/gsm8k', ...)`), then maps it into chat `prompt` text that is fed into the GRPO trainer/LLM context for generation—so outsider-authored free text can reach the model.
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